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. 2022 Sep 7;54(9):1332–1344. doi: 10.1038/s41588-022-01165-1

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a,c, The best performing PGSs for MVPA (a) and LST (c) were derived using logistic/linear regression analyses; that is, those with the highest incremental R² above and beyond models with only sex, age and the top ten principal components. This was accomplished using inclusion thresholds of P < 0.1101 for MVPA and P < 0.14 for LST. b,d, The association—examined using a logistic regression analysis—of MVPA with the PGSs for MVPA (b) and LST (d) in individuals of African (AA, n = 2,224), European (EA, n = 2,765) and Hispanic (HA, n = 3,206) ancestry in data from the BioMe BioBank. Dots and error bars show OR and 95% CI.